| 2026 | AAAI | DW-DGAT: Dynamically Weighted Dual Graph Attention Network for Neurodegenerative Disease Diagnosis. | Chengjia Liang, Zhenjiong Wang, Chao Chen, Ruizhi Zhang, Songxi Liang, Hai Xie, Haijun Lei, Zhongwei Huang |
| 2026 | PAKDD | Cross-Domain Aspect Sentiment Triplet Extraction Based on Generative Data Augmentation and Pseudo-Label Optimization. | Zhou Zou, Jianxia Chen, Long Yang, Ninglong Ding, Liang Xiao, Zhongwei Huang |
| 2024 | ICANN | ComMGAE: Community Aware Masked Graph AutoEncoder. | Gaohang Jiang, Xu Jin, Mengyu Luo, Jianxia Chen, Zhongwei Huang, Jing Wang |
| 2024 | ICANN | Improved Multi-hop Reasoning Through Sampling and Aggregating. | Mengyu Luo, Jianxia Chen, Qi Yan, Gaohang Jiang, Shi Dong, Liang Xiao, Zhongwei Huang |
| 2024 | IJCNN | Contrastive pre-training of Soft-Clustering GCN for diagnosing Alzheimer's disease. | Sihui Ge, Zhi Yang, Haitao Gan, Zhongwei Huang, Ran Zhou, Ji Wang |
| 2024 | IJCNN | Adaptive Sparse Learning Based on Flexible Graph Embedding for Parkinson's Disease Diagnosis. | Zhongwei Huang, Jianqiang Li, Jiatao Yang, Ran Zhou, Jun Wan, Haitao Gan |
| 2022 | ICPR | Parkinson's Disease Classification with Self-supervised Learning and Attention Mechanism. | Yuchen Zhang, Haijun Lei, Zhongwei Huang, Zhen Li, Chuan-Ming Liu, Baiying Lei |
| 2022 | ICPR | Attention-based Graph Neural Network for the Classification of Parkinson's Disease. | Menglu Zhao, Haijun Lei, Zhongwei Huang, Yuchen Zhang, Zhen Li, Chuan-Ming Liu, Baiying Lei |
| 2022 | PRICAI | Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer's Disease Diagnosis. | Wenya Liu, Zhi Yang, Haitao Gan, Zhongwei Huang, Ran Zhou, Ming Shi |
| 2022 | PRICAI | VaeSSC: Enhanced GRN Inference with Structural Similarity Constrained Beta-VAE. | Hongmin Zhang, Ming Shi, Zhongwei Huang, Zhi Yang, Ran Zhou, Haitao Gan |
| 2020 | ICPR | Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction. | Zhongwei Huang, Haijun Lei, Shiqi Li, Xiaohua Xiao, Ee-Leng Tan, Baiying Lei |
| 2020 | MICCAI | Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis. | Zihao Chen, Haijun Lei, Yujia Zhao, Zhongwei Huang, Xiaohua Xiao, Yi Lei, Ee-Leng Tan, Baiying Lei |
| 2019 | MICCAI | Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis. | Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed El-Azab, Baiying Lei |
| 2019 | MICCAI | Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning. | Haijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei |
| 2018 | ICPR | Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning. | Haijun Lei, Yujia Zhao, Zhongwei Huang, Feng Zhou, Limin Huang, Baiying Lei |
| 2018 | MICCAI | Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis. | Haijun Lei, Zhongwei Huang, Ahmed El-Azab, Hancong Li, Baiying Lei |